Text Mining-based Enterprise Financial Performance Evaluation in the Context of Enterprise Digital Transformation

As enterprises gradually move towards digitalization, it is increasingly difficult to accurately evaluate changes in corporate financial performance. To improve this situation, the study uses a text mining algorithm based on web crawler principle extract keywords from annual reports, select representative performance indicators through IF-FDP, and construct evaluation model using entropy weighting method. The comparison experiments of proposed show that accuracy-recall rate area under line 0.83 average F-value 0.34, which are both better than other algorithms. In empirical analysis model, was found had smallest absolute error 0.3%, lower models. above results indicate outperform model. Therefore, by can be used effectively promote development enterprises, has practical application value.